code: def __init__(
      self,
      sorted_features: List[int],
      set_missing_value_to_zero: bool = False,
  ) -> None:
      self.sorted_features = sorted_features
      self.set_missing_value_to_zero = set_missing_value_to_zero
  
file_path: ReAgent/reagent/preprocessing/sparse_to_dense.py
imports: from collections import defaultdict
  from typing import Dict, List, Tuple
  import torch
  from reagent.preprocessing import normalization
label_desc: Use image node_id 1 to create a new SparseToDenseProcessor object  with example: obj = SparseToDenseProcessor(sorted_features, set_missing_value_to_zero)